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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 A Sentiment analysis approach for Arabic dialects texts analysis based on automatic translation: Application to the Algerian dialect. ... Guellil, Imane. - : Unpublished, 2021 BASE Show details 2 Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English ... Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - : arXiv, 2021 BASE Show details 3 A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect Adeel, Ahsan; Guellil, Imane; Gogate, Mandar. - : Springer, 2021 BASE Show details 4 Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guellil, Imane. - : Underline Science Inc., 2021 BASE Show details 5 A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - 2021 BASE Show details 6 ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages Azouaou, Faical; Guellil, Imane; Chiclana, Francisco. - : Springer, 2020 Abstract: The file attached to this record is the author's final peer reviewed version. ; A corpus-based sentiment analysis approach for messages written in Arabic and its dialects is presented and implemented. The originality of this approach resides in the automation construction of the annotated sentiment corpus, which relies mainly on a sentiment lexicon that is also constructed automatically. For the classification step, shallow and deep classifiers are used with features being extracted applying word embedding models. For the validation of the constructed corpus, we proceed with a manual reviewing and it was found that 85.17% were correctly annotated. This approach is applied on the under-resourced Algerian dialect and the approach is tested on two external test corpora presented in the literature. The obtained results are very encouraging with an F1-score that is up to 88% (on the first test corpus) and up to 81% (on the second test corpus). These results respectively represent a 20% and a 6% improvement, respectively, when compared with existing work in the research literature. Keyword: Arabic and its dialects; Arabic sentiment analysis; Automatic resources construction; document embedding; shallow/deep classification; word embedding URL: https://doi.org/10.1007/s13278-020-00688-x https://dora.dmu.ac.uk/handle/2086/20047 BASE Hide details 7 Approche Hybride pour la translitération de l’arabizi algérien : une étude préliminaire GUELLIL, Imane; Azouaou, Faical; Benali, Fodil... In: 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01837234 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), May 2018, Rennes, France (2018) BASE Show details 8 Hybrid approach for transliteration of Algerian arabizi: a primary study ... Guellil, Imane; Azouaou, Faical; Benali, Fodil. - : arXiv, 2018 BASE Show details 9 SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - : Springer, 2018 BASE Show details 10 SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis ... Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - : arXiv, 2018 BASE Show details 11 Comparison between Neural and Statistical translation after transliteration of Algerian Arabic Dialect GUELLIL, Imane; Azouaou, Faiçal; Abbas, Mourad In: WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017) ; https://hal.archives-ouvertes.fr/hal-01570298 ; WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017), Jul 2017, Vancouver, Canada ; http://www.winlp.org/winlp-workshop (2017) BASE Show details

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